Big Data Architect
2 settimane fa
- Design and implement largescale data processing systems using Big Data technologies.
- Architect build and maintain scalable data pipelines to support various data analytics and machine learning applications.
- Collaborate with data scientists analysts and other stakeholders to define data requirements and ensure data quality and integrity.
- Develop and optimize complex ETL processes to handle large volumes of data efficiently.
- Implement best practices for data governance security and compliance.
- Evaluate and integrate new technologies and tools to improve data processing and analytics capabilities.
- Provide technical leadership and mentorship to junior team members.
- Troubleshoot and resolve performance issues in big data applications and infrastructure.
- Create and maintain technical documentation related to data architecture and processes.
- Bachelor s or Master s degree in Computer Science Information Technology or a related field.
- 10 years of experience in Big Data architecture and implementation.
- Solid programming experience in Java Scala and PySpark.
- Extensive experience with Apache Spark and other Big Data frameworks.
- Proficiency in designing and implementing data lakes and data warehouses.
- Strong knowledge of ETL processes and tools.
- Experience with cloud platforms (AWS Azure GCP) and their big data services.
- Familiarity with data governance security and compliance best practices.
- Excellent problemsolving skills and the ability to troubleshoot complex data issues.
- Strong communication skills and the ability to collaborate effectively with crossfunctional teams.
- Experience with additional big data tools and technologies (e.g. Hadoop Kafka Flink).
- Knowledge of machine learning frameworks and libraries.
- Certification in Big Data technologies or cloud platforms.
- Experience in Agile development methodologies.
agile development methodologies,azure,gcp,flink,etl processes,big data,spark,cloud platforms,machine learning frameworks,data governance,aws,scala,java,big data technologies,hadoop,pyspark,kafka
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